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Microsoft Certified: Power Platform Developer Associate · Microsoft

Turn mistakes into focused review

Identify the key concept to reinforce, validate it with a similar question, and return with clearer evidence.

Personal review evidence within your learning scope
Open your free workspace

How Smart Review works

Turn practice into a focused review loop

Smart Review turns a completed test into a short, repeatable learning loop. The method is public; your evidence remains private.

  1. 1

    Identify the mistake

    Separate an incorrect answer from uncertainty, guessing, or a recurring gap.

  2. 2

    Review one concept

    Return to the most relevant learning topic instead of repeating the whole subject.

  3. 3

    Validate with a similar question

    Use related practice to confirm whether the reasoning is now reliable.

  4. 4

    Recheck readiness

    Use the next result to decide whether to continue, reinforce, or change focus.

Review example

From a mistake to a focused next step

See how a completed practice result becomes one clear review action. This is a public example, not a personal record.

1

Practice result

An incorrect or uncertain answer points to a concept that needs another look.

2

Why review is recommended

Smart Review connects the answer, confidence, and related learning topic.

3

Focused next action

Review the concept, then validate the reasoning with a similar question.

Build your review evidence

Start with free practice, then use your results to choose a focused next step.

Subject review guide · published content

Capture unreliable reasoning

A correct answer can still expose a gap.

Fixed subject guidance from the published Readiness package—not your personal result.
01

Incorrect answer

An incorrect answer identifies a decision to inspect.

  • Explain the assumption behind the wrong option.
02

Low confidence

A correct guess remains a review signal.

  • Recall the reasoning without the option list.
03

Slow response

Slow reasoning may indicate an unclear boundary.

  • Distinguish unfamiliarity from careful reading.
04

Stale topic

Earlier study may no longer be retrievable.

  • Use delayed recall with a different scenario.
05

Low mastery

A topic lacks independent evidence.

  • Keep missing access visible as a gap.

Repair foundations and missing evidence

Use prerequisite dependencies and official ranges as study context.

1

Priority 1

  • An identity or execution-boundary error affects several topics.

Recommended action

  • Repair the prerequisite before repeating dependent work.
2

Priority 2

  • Platform-extension tasks remain wrong, guessed, or untested.

Recommended action

  • Choose one plug-in, API, worker, flow, or agent task and verify it.
  • The official 35-40% domain range is study context, not a local scoring formula.
3

Priority 3

  • A UI or integration topic lacks fresh evidence despite strong familiar answers.

Recommended action

  • Select the least-supported task and introduce a failed case.

Retrieve and demonstrate

Each unit supplies a mistake pattern and a checkable outcome.

01Architecture and execution boundaries

Review points

  • Locate each requirement in a component with the right identity, transaction boundary, and response behavior.
  • Compare standard, virtual, and elastic tables with connectors for a data requirement.
  • Choose deterministic validation versus agent-assisted reasoning and document authorization.
  • Select a UI and agent host using user needs, platform constraints, and monitoring requirements.

Common mistakes

  • A client-side check protects data written through every API.
  • An agent response is sufficient enforcement for a mandatory invariant.

Retrieval prompts

  • Explain the decision implied by this signal: An integration bypasses a form rule.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Draw a component and identity map and defend where a mandatory rule executes.
  • Repeat the explanation after a delay using another scenario.
02Component contracts and observability

Review points

  • Break a solution into reusable interfaces, data operations, automations, and observable service interactions.
  • Specify contracts for PCF, code apps, connectors, MCP servers, custom APIs, and agents.
  • Describe inputs, outputs, dependencies, and errors of an extension.
  • Plan diagnostics with Application Insights and platform monitoring alerts.

Common mistakes

  • A reusable component needs no failure contract.
  • Diagnostics need no advance design.

Retrieval prompts

  • Explain the decision implied by this signal: Several apps need the same operation.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Write an operation contract with a failure case, dependencies, and a monitoring plan.
  • Repeat the explanation after a delay using another scenario.
03Solutions and deployment configuration

Review points

  • Promote the same application while controlling dependencies and target configuration.
  • Trace solution layers and diagnose missing dependencies.
  • Separate environment-specific values and connection bindings from logic.
  • Choose Power Platform Pipelines or Build Tools for release controls.

Common mistakes

  • Exporting an app includes every dependency.
  • Development endpoints can remain hard-coded in release artifacts.

Retrieval prompts

  • Explain the decision implied by this signal: Import fails only in test.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Promote a solution and show resolved dependencies and verified target settings.
  • Repeat the explanation after a delay using another scenario.
04Model-driven app interactions

Review points

  • Use supported client APIs for events, commands, and navigation while respecting server authorization.
  • Register a JavaScript handler with its required context.
  • Use Client API objects and Dataverse requests for a defined interaction.
  • Choose Power Fx or JavaScript for commands, dialogs, and notifications.

Common mistakes

  • A form notification enforces every integration write.
  • Direct DOM assumptions are the supported form contract.

Retrieval prompts

  • Explain the decision implied by this signal: A handler fails after registration changes.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Demonstrate a registered handler and command and explain the separate server permission checks.
  • Repeat the explanation after a delay using another scenario.
05Reusable PCF controls

Review points

  • Implement a control through its manifest, lifecycle, outputs, and host-supported APIs.
  • Separate initialization, context updates, output reporting, and cleanup.
  • Bind declared properties and implement component interfaces.
  • Package a component into a solution and verify it in its host.

Common mistakes

  • A dataset is guaranteed to be ready during init.
  • Listeners need no cleanup when a component is removed.

Retrieval prompts

  • Explain the decision implied by this signal: A control displays stale data after a bound value changes.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Show lifecycle behavior after a property change and removal, including cleanup.
  • Repeat the explanation after a delay using another scenario.
06Code app data and service connections

Review points

  • Connect a custom app to platform data and services with explicit configuration and permissions.
  • Configure platform connections and target environment values.
  • Implement Dataverse table, metadata, action, and function operations.
  • Connect cloud flows and Copilot Studio agents with explicit error handling.

Common mistakes

  • A working local UI proves production connections are configured.
  • App sharing grants every underlying data permission.

Retrieval prompts

  • Explain the decision implied by this signal: A UI needs data, automation, and agent interactions.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Demonstrate a data operation and service interaction using target configuration.
  • Repeat the explanation after a delay using another scenario.
07Code app deployment and diagnosis

Review points

  • Investigate runtime failures using policy settings, browser evidence, and operational telemetry.
  • Package, deploy, and share a code app with required access.
  • Investigate blocked resources through CSP evidence.
  • Use Monitor, browser tools, and Application Insights to diagnose performance and resource use.

Common mistakes

  • A CSP failure always means missing table privileges.
  • Disabling the policy is the preferred lasting correction.

Retrieval prompts

  • Explain the decision implied by this signal: The browser reports a blocked origin.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Show a runtime failure, a scoped correction, and evidence from a subsequent run.
  • Repeat the explanation after a delay using another scenario.
08Transactional Dataverse extensions

Review points

  • Use registration and execution context to enforce server behavior at the appropriate stage.
  • Choose stage and mode, inspect context, and configure images.
  • Implement efficient logic and expose an operation through a custom API.
  • Review registration, business events, and managed identity requirements.

Common mistakes

  • An asynchronous step can reject the original save before completion.
  • Setting a value before save always requires another Update.

Retrieval prompts

  • Explain the decision implied by this signal: Every write channel must calculate a value before persistence.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Register and test a plug-in with an image and explain its transaction behavior.
  • Repeat the explanation after a delay using another scenario.
09API clients and resilient data operations

Review points

  • Choose data APIs and SDKs with explicit identity, concurrency, transaction, and retry behavior.
  • Compare Web API, Organization service, and .NET/Python SDKs for a scenario.
  • Troubleshoot OAuth and bounded handling of throttling.
  • Choose bulk, concurrency, transaction, and background-operation strategies.

Common mistakes

  • More parallel requests always resolve throttling.
  • A batch automatically makes all business operations atomic.

Retrieval prompts

  • Explain the decision implied by this signal: A client receives HTTP 429.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Explain an authenticated request trace and demonstrate a retry decision based on server feedback.
  • Repeat the explanation after a delay using another scenario.
10Azure worker execution

Review points

  • Move suitable workloads outside an interactive operation and define identity and recovery.
  • Choose scheduled or event-driven Function triggers.
  • Design long-running work without holding a synchronous plug-in transaction open.
  • Describe managed identity access and required platform permissions.

Common mistakes

  • Long synchronous plug-in calls are equivalent to separate workers.
  • A managed identity automatically has every table permission.

Retrieval prompts

  • Explain the decision implied by this signal: Processing exceeds acceptable save latency.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Exercise a worker boundary with explicit identity, permissions, and failed-run recovery.
  • Repeat the explanation after a delay using another scenario.
11Flow expressions and workflow recovery

Review points

  • Structure reusable automation with intentional triggers, transformations, and error paths.
  • Build expressions and control actions for flows and workflows.
  • Configure trigger filters, bounded retries, and run-after behavior.
  • Use child flows for reuse and a service principal for appropriate Dataverse connections.

Common mistakes

  • Failure always runs the next success-only action.
  • Repeating a non-idempotent operation is harmless.

Retrieval prompts

  • Explain the decision implied by this signal: A catch path is skipped after failure.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Run success and failure cases and verify recovery without duplicate business actions.
  • Repeat the explanation after a delay using another scenario.
12Custom agent and platform interoperability

Review points

  • Integrate agents with governed tools and explicit authorization for data and actions.
  • Plan Foundry agent calls through Power Platform MCP servers.
  • Describe Copilot Studio agent interaction and its client library.
  • Identify the Work IQ connection to Dataverse context and access that must be verified.

Common mistakes

  • A tool description grants access to business data.
  • An agent result can replace invariant enforcement.

Retrieval prompts

  • Explain the decision implied by this signal: A custom agent needs governed platform operations.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Trace an agent tool call from identity to permitted operation, result handling, and audit evidence.
  • Repeat the explanation after a delay using another scenario.
13Outbound Dataverse event delivery

Review points

  • Match publication and delivery endpoints to external processing requirements.
  • Choose service endpoints, webhooks, Service Bus, or Event Hub by consumer needs.
  • Describe registration and publication through IServiceEndpointNotificationService.
  • Plan receiver diagnostics and duplicate handling.

Common mistakes

  • Publishing proves external business processing completed.
  • Webhooks and durable queues have identical behavior.

Retrieval prompts

  • Explain the decision implied by this signal: An external service must react to a data event.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Trace a registered event from publication through the selected receiver.
  • Repeat the explanation after a delay using another scenario.
14Incremental and repeatable synchronization

Review points

  • Identify records consistently and discover relevant changes for external synchronization.
  • Use alternate keys when external identifiers differ from row IDs.
  • Use upsert when an incoming record might already exist.
  • Describe change tracking and checkpoint recovery.

Common mistakes

  • Upsert discovers which rows changed since the previous sync.
  • Creating each received record is safe when a batch repeats.

Retrieval prompts

  • Explain the decision implied by this signal: A feed mixes existing and new records.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Replay a batch without duplicate standard-table rows and explain change discovery.
  • Repeat the explanation after a delay using another scenario.
15Custom connector contracts

Review points

  • Expose an API with a matching definition, authentication model, and runtime behavior.
  • Import and extend OpenAPI for a service or Azure Function.
  • Configure authentication and runtime policies.
  • Separate connector transformation code from backend implementation.

Common mistakes

  • An OpenAPI definition implements the backend operation.
  • A connector policy replaces service authorization.

Retrieval prompts

  • Explain the decision implied by this signal: An API response differs from the app contract.
  • What changed requirement would make the previous approach unsuitable?

Success criteria

  • Test a connector and explain its definition, identity, transformation, and failure response.
  • Repeat the explanation after a delay using another scenario.
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